<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-FDA22ZBU</identifier><date>2021</date><creator>Catak, Ferhat Ozgur</creator><creator>Şahinbaş, Kevser</creator><creator>Sivaslioglu, Samed</creator><relation>documents/doc/F/URN_NBN_SI_doc-FDA22ZBU_001.pdf</relation><relation>documents/doc/F/URN_NBN_SI_doc-FDA22ZBU_001.txt</relation><format format_type="issue">1</format><format format_type="volume">45</format><format format_type="type">article</format><format format_type="extent">str. 33-64</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v45i1.3234</identifier><identifier identifier_type="COBISSID_HOST">62882819</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-FDA22ZBU</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A generative model based adversarial security of deep learning and linear classifier models</title></Record>